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Topic-Contributed Paper Session

AI, Machine Learning, and Modern Statistical Methods for Complex Biomedical Data

Wed, Aug 5, 10:30 AM - 12:20 PM Room CC-252B Thomas M. Menino Convention & Exhibition Center

Gang LiOrganizerJay XuChair

Section on Statistical Learning and Data Science co: WNARco: Lifetime Data Science Section

5 Presentations

A suite of Spearman-like correlation measures for bivariate interval-censored data

10:35 AM - 10:55 AM

Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage

10:55 AM - 11:15 AM

Donatello Telesca (UCLA School of Public Health)

Global Local Shrinkage Linear Models Model Averaging Transfer Learning

Cox-SieveTL: Semiparametric Transfer Learning for Cox Models via Sieve Maximum Likelihood

11:15 AM - 11:35 AM

Gang Li (University of California-Los Angeles)

Co-authors: Sijie Zheng, Yuxi Song (UCLA), Jeffrey Chiang (UCLA), Jin Zhou (UCLA), Hua Zhou (UCLA)

Transfer learning Cox regression Semiparametric models Sieve methods Domain adaptation Biomedical data

Interpretable Graph Autoencoders for Longitudinal Mediation Analysis

11:35 AM - 11:55 AM

Zhe Fei (University of California, Riverside)

causal mediation analysis directed acyclic graph graph neural networks

Pseudo-notes as an interface between electronic health records and large language models

11:55 AM - 12:15 PM

Jeffrey Chiang (UCLA)

Electronic health records Large language models Text serialization

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